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#Art & Design #Adobe #ChatGPT #GitHub

#Sentence Transformers

Showing: 28 courses
James Briggs

Medical Search Engine with SPLADE + Sentence Transformers in Python

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Build a medical search engine using hybrid search with SPLADE and sentence transformers. Learn to combine dense and sparse vectors for improved semantic and keyword search capabilities in medical question-answering.
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10 Lesons
31 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Document Similarity: Langchain Sentence Transformers and Chroma - Spanish

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Aprende a clasificar documentos usando Langchain con Sentence Transformers de HuggingFace y Chromadb. Explora técnicas avanzadas de procesamiento de lenguaje natural y similitud documental.
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1 Lesons
21 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Recent Developments in Neural Search

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Explore cutting-edge neural methods for semantic search, improving text search quality with pre-trained transformer networks and advanced deployment techniques.
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1 Lesons
47 minutes
On-Demand
Free-Video
Discover AI

LLama 2 and PEFT Documentation - Building Interactive LLM with Retrieval Augmented Generation

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Master building a RAG-enhanced LLM system using Llama 2 through hands-on coding. Learn web scraping, embedding generation, vector indexing, and semantic search to create an AI that leverages external knowledge sources.
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1 Lesons
52 minutes
On-Demand
Free-Video
Discover AI

Train a Domain-Specific BERT Tokenizer Using SBERT - Part 50

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Master BERT tokenizer training for scientific domains using SBERT, focusing on byte-pair encoding and specialized pre-training for complex domain-specific knowledge like bio-pharmacological content.
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5 Lesons
15 minutes
On-Demand
Free-Video
Discover AI

Feature Vectors - Understanding BERT and SBERT Transformer Models

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Dive into feature vectors and their crucial role in BERT and SBERT transformer models, exploring vectorization techniques, Python implementation, and practical applications in NLP.
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5 Lesons
19 minutes
On-Demand
Free-Video
Discover AI

SETFIT Hyperparameter Optimization for SBERT Text Classification - Part 45

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Master SETFIT hyperparameter optimization techniques for efficient text classification using Sentence Transformers, focusing on contrastive training and automated parameter tuning for optimal performance.
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1 Lesons
22 minutes
On-Demand
Free-Video
Discover AI

SetFit with SBERT for Few-Shot Text Classification - Multi-Class and Multi-Label

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Master SetFit and SBERT techniques for efficient few-shot text classification, exploring contrastive training, dense embeddings, and classification head implementation for both multi-class and multi-label scenarios.
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1 Lesons
28 minutes
On-Demand
Free-Video
Discover AI

Pre-Training BERT from Scratch for Domain-Specific Knowledge Using PyTorch - Part 51

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Master BERT model pre-training from scratch using PyTorch, focusing on domain-specific data. Build custom tokenizers, design architecture, and implement masked language modeling for specialized neural information retrieval systems.
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17 Lesons
36 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Cohere Embed V3: Innovations in Content Quality and Compressed Embeddings

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Discover state-of-the-art embedding models featuring content quality assessment and vector compression techniques, with practical insights on implementation and scaling in vector database setups.
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15 Lesons
25 minutes
On-Demand
Free-Video
David Shapiro ~ AI

Semantic Search for AI - Testing Out Qdrant Neural Search

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Explore semantic search implementation using Qdrant, covering Docker setup, data cleaning, microservice creation, and leveraging sentence embeddings for improved AI-powered search capabilities.
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14 Lesons
33 minutes
On-Demand
Free-Video
James Briggs

How to Use OpenAI Whisper to Fix YouTube Search

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Learn to enhance YouTube search using OpenAI Whisper, transformers, and vector search. Build a system for precise content retrieval, transcription, and question-answering from YouTube videos.
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11 Lesons
40 minutes
On-Demand
Free-Video
James Briggs

Spotify's Podcast Search Explained

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Explore Spotify's innovative podcast search system using natural language processing and learn to implement a similar solution with transformer models and vector search techniques.
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15 Lesons
50 minutes
On-Demand
Free-Video
James Briggs

Is GPL the Future of Sentence Transformers - Generative Pseudo-Labeling Deep Dive

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Explore Generative Pseudo-Labeling for training high-performance sentence transformers using unlabeled text data. Learn implementation techniques, potential applications, and future implications for NLP and semantic search.
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19 Lesons
53 minutes
On-Demand
Free-Video
James Briggs

Train Sentence Transformers by Generating Queries - GenQ

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Learn to train sentence transformers using GenQ, a technique that generates synthetic queries for effective bi-encoder models in semantic search, with practical code walkthroughs and implementation insights.
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10 Lesons
27 minutes
On-Demand
Free-Video
James Briggs

Fine-Tune High Performance Sentence Transformers With Multiple Negatives Ranking

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Learn to fine-tune sentence transformers using multiple negatives ranking loss, improving embedding quality for similarity prediction and outperforming SBERT. Includes PyTorch and sentence-transformers library implementations.
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9 Lesons
37 minutes
On-Demand
Free-Video
James Briggs

Fine-Tune Sentence Transformers the OG Way - With NLI Softmax Loss

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Explore fine-tuning sentence transformers using NLI softmax loss. Learn preprocessing, PyTorch implementation, and Sentence-Transformers library usage for improved sentence embeddings in NLP applications.
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8 Lesons
37 minutes
On-Demand
Free-Video
James Briggs

NER Powered Semantic Search in Python

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Learn to implement NER-powered semantic search in Python using Transformers, Sentence Transformers, and Pinecone. Explore dataset preparation, entity creation, embedding generation, and querying techniques for efficient information retrieval.
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8 Lesons
18 minutes
On-Demand
Free-Video
All About AI

Llama 3 8B - Building Local AI Agents with Function Calling - Full Tutorial

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Learn to build AI agents with Llama 3 8B, exploring function calling, tool creation, and customization. Hands-on tutorial for developing powerful local language models with practical applications.
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7 Lesons
18 minutes
On-Demand
Free-Video
James Briggs

AugSBERT: Domain Transfer for Sentence Transformers

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Learn to transfer knowledge from out-of-domain datasets to your target domain using AugSBERT. Optimize language models with efficient data selection and domain-transfer training strategies for improved performance.
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8 Lesons
29 minutes
On-Demand
Free-Video
EuroPython Conference

Representation is King: The Journey to Quality Dialog Embeddings

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Explore sentence embeddings in dialog systems, focusing on classification. Learn to fine-tune top-performing small-sized sentence transformers using SentenceTransformers framework with practical examples.
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1 Lesons
27 minutes
On-Demand
Free-Video
Discover AI

SETFIT Few-Shot Learning for SBERT Text Classification - Part 43

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Discover how SETFIT's few-shot learning approach revolutionizes text classification, outperforming GPT-3 while using SBERT Sentence Transformers for efficient processing with limited training data.
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10 Lesons
19 minutes
On-Demand
Free-Video
Discover AI

Beyond AI Vector Database - Neural Search Implementation with GPT-4 and ChatGPT

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Discover how to build a cost-effective neural search system using tokenizers, embedders, and similarity calculations as an alternative to Azure Cognitive Search for domain-specific AI applications.
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1 Lesons
17 minutes
On-Demand
Free-Video
OpenSource Connections

A Practical Approach for Few Shot Learning with SetFit - Haystack EU 2023

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Explore SetFit for few-shot learning in classification and ranking, with a focus on legal research applications. Discover its potential to outperform GPT-3 in label-scarce settings.
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1 Lesons
28 minutes
On-Demand
Free-Video
James Briggs

Today Unsupervised Sentence Transformers, Tomorrow Skynet - How TSDAE Works

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Explore unsupervised fine-tuning for sentence transformers using TSDAE. Learn to train models without labeled data, ideal for domains and languages with limited resources.
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13 Lesons
44 minutes
On-Demand
Free-Video
James Briggs

Intro to Dense Vectors for NLP and Vision

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Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.
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10 Lesons
44 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Document Similarity: Langchain Sentence Transformers and Chroma

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Explore document similarity using Langchain, HuggingFace Transformers, and Chromadb. Learn to create embeddings and implement vector storage for efficient text analysis and classification.
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1 Lesons
31 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Practical LLM Fine-Tuning for Semantic Search

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Explore fine-tuning LLMs for semantic search in specialized domains. Learn data requirements, training techniques, and practical insights to enhance search capabilities using open-source tools.
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1 Lesons
49 minutes
On-Demand
Free-Video